| Threats to internal validity in worksite health promotion program research: common problems and possible solutions. | |
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MedLine Citation:
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PMID: 10148685 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Reviews of the research on worksite health promotion programs reveal that most studies are limited in their ability to draw clear inferences about program effects because the studies employed flawed research designs and/or analyses. Conclusions are often drawn about program effectiveness with little consideration given to alternative explanations for the findings. In an effort to promote improved research, this article uses the Cook and Campbell delineation of threats to valid causal inference to illustrate how the threats can operate in worksite health promotion program research as well as how they can be examined and controlled. Researchers, even those attempting to conduct true experiments, must consider the existence of all plausible threats to validity and control or rule them out before valid causal inferences can be drawn. The theoretical and design issues involved in worksite health promotion program research are presented, followed by a discussion of threats to internal validity. |
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Authors:
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K M Conrad; K J Conrad; J Walcott-McQuigg |
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Publication Detail:
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Type: Comparative Study; Journal Article; Review |
Journal Detail:
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Title: American journal of health promotion : AJHP Volume: 6 ISSN: 0890-1171 ISO Abbreviation: Am J Health Promot Publication Date: 1991 Nov-Dec |
Date Detail:
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Created Date: 1993-08-26 Completed Date: 1993-08-26 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8701680 Medline TA: Am J Health Promot Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 112-22 Citation Subset: T |
Affiliation:
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Occupational Health Nursing Program, University of Illinois at Chicago 60612. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Data Collection
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methods Health Promotion / methods* Humans Occupational Health* Program Evaluation Regression Analysis Reproducibility of Results Research Design Selection Bias |
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